• Title, Summary, Keyword: Attribute Data

Search Result 1,057, Processing Time 0.056 seconds

Evaluation of Attribute Selection Methods and Prior Discretization in Supervised Learning

  • Cha, Woon Ock;Huh, Moon Yul
    • Communications for Statistical Applications and Methods
    • /
    • v.10 no.3
    • /
    • pp.879-894
    • /
    • 2003
  • We evaluated the efficiencies of applying attribute selection methods and prior discretization to supervised learning, modelled by C4.5 and Naive Bayes. Three databases were obtained from UCI data archive, which consisted of continuous attributes except for one decision attribute. Four methods were used for attribute selection : MDI, ReliefF, Gain Ratio and Consistency-based method. MDI and ReliefF can be used for both continuous and discrete attributes, but the other two methods can be used only for discrete attributes. Discretization was performed using the Fayyad and Irani method. To investigate the effect of noise included in the database, noises were introduced into the data sets up to the extents of 10 or 20%, and then the data, including those either containing the noises or not, were processed through the steps of attribute selection, discretization and classification. The results of this study indicate that classification of the data based on selected attributes yields higher accuracy than in the case of classifying the full data set, and prior discretization does not lower the accuracy.

The Study on Goods Attributes and Brand Attitude by Fashion Brand (패션브랜드에 따른 상품속성과 브랜드 태도에 관한 연구)

  • Shin, Won-Hye;Yoo, Tai-Soon
    • Korean Journal of Human Ecology
    • /
    • v.13 no.6
    • /
    • pp.943-957
    • /
    • 2004
  • The purpose of this study is to 1) understand the importance of brands, which are known as one of the key purchasing points to consumers today; 2) 10 clearly clarify the various attributes of goods well-known to consumers; 3) to research the effect of the goods attributes on brand attitude. We examined 465 consumers to understand a purchase or a shopping habit with national and non-brand. The study used SPSS 11.0 package for a data analysis. Then using varimax rotation, we employed a factor analysis to analyze the data and obtain Cronbach ${\alpha}$ value. For more specific data analysis, we conducted t-test, regression analysis, and x2 analysis. The results are as followings: 1. The goods attribute is classified into product attribute, shop attribute, and price attribute. The product attribute is divided into wearability, labeling of size and quality, aesthetic expression, brand expression-harmony, textile-suitability, manageability and product assortment. The shop attribute is into shop environment, shopping convenience, promotion, salesperson service, convenience of location, shop's reputation. The price attribute is into price reasonability, price value, price economy, and price information. 2. The product attribute is different, by national and non-brands, in wearability, labeling of size and quality, brand expression-harmony, textile-suitability, manageability. The shop attribute had a significant difference in environment of shop and its reputation, and the price attribute had one only in price economy. 3. The brand attitude was affected by wearability, aesthetic expression, shop environment, price value, and price information. 4. Also, there exists a difference by demographic variables(age, job, academic background, marriage, income level) in brand attitude. For example, national brands have its consumers with the following variables: higher education, higher income, professional job, over 20s, and married.

  • PDF

A Study on the Multi-Attribute Decision Making based on Eigenvector (Eigenvector를 이용한 다속성의사결정에 관한 연구)

  • 안동규
    • Journal of the Society of Korea Industrial and Systems Engineering
    • /
    • v.18 no.34
    • /
    • pp.1-8
    • /
    • 1995
  • The practical problem of multi-attribute decision making are formed by the uncertain attribute that the attribute by the alternatives cannot be defined or judged crisphy but only as vague. In this case the final judgements are also represented by vague which have to be ordered to determine the optimal alternative. The problem is more complex if the evaluations of alternatives according to each attribute are expresed vague. This paper described the results of a study done to determine how well multi-attribute decision marking perform in helping a decision maker arrive at a preferred solution to a multi-attribute problem with vague attribute. Particular area of research has concentrated on the issue of combining quantitative and qualitative data supplied by estimation. Futher study considers some method for suitable evaluation of qualitative data.

  • PDF

Ciphertext policy attribute-based encryption supporting unbounded attribute space from R-LWE

  • Chen, Zehong;Zhang, Peng;Zhang, Fangguo;Huang, Jiwu
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.11 no.4
    • /
    • pp.2292-2309
    • /
    • 2017
  • Ciphertext policy attribute-based encryption (CP-ABE) is a useful cryptographic technology for guaranteeing data confidentiality but also fine-grained access control. Typically, CP-ABE can be divided into two classes: small universe with polynomial attribute space and large universe with unbounded attribute space. Since the learning with errors over rings (R-LWE) assumption has characteristics of simple algebraic structure and simple calculations, based on R-LWE, we propose a small universe CP-ABE scheme to improve the efficiency of the scheme proposed by Zhang et al. (AsiaCCS 2012). On this basis, to achieve unbounded attribute space and improve the expression of attribute, we propose a large universe CP-ABE scheme with the help of a full-rank differences function. In this scheme, all polynomials in the R-LWE can be used as values of an attribute, and these values do not need to be enumerated at the setup phase. Different trapdoors are used to generate secret keys in the key generation and the security proof. Both proposed schemes are selectively secure in the standard model under R-LWE. Comparison with other schemes demonstrates that our schemes are simpler and more efficient. R-LWE can obtain greater efficiency, and unbounded attribute space means more flexibility, so our research is suitable in practices.

Collaborative Filtering Algorithm Based on User-Item Attribute Preference

  • Ji, JiaQi;Chung, Yeongjee
    • Journal of information and communication convergence engineering
    • /
    • v.17 no.2
    • /
    • pp.135-141
    • /
    • 2019
  • Collaborative filtering algorithms often encounter data sparsity issues. To overcome this issue, auxiliary information of relevant items is analyzed and an item attribute matrix is derived. In this study, we combine the user-item attribute preference with the traditional similarity calculation method to develop an improved similarity calculation approach and use weights to control the importance of these two elements. A collaborative filtering algorithm based on user-item attribute preference is proposed. The experimental results show that the performance of the recommender system is the most optimal when the weight of traditional similarity is equal to that of user-item attribute preference similarity. Although the rating-matrix is sparse, better recommendation results can be obtained by adding a suitable proportion of user-item attribute preference similarity. Moreover, the mean absolute error of the proposed approach is less than that of two traditional collaborative filtering algorithms.

A Study on the Image Positioning Strategy according to the Games of Marine Sports (해양스포츠 종목에 따른 이미지 포지셔닝 전략에 관한 연구)

  • PARK, Tae-Seung
    • Journal of Fisheries and Marine Sciences Education
    • /
    • v.29 no.2
    • /
    • pp.526-536
    • /
    • 2017
  • This study intended to understand similarity of image between games and position of image attribute perceived by consumers according to the games of marine sports using MDS (Multidimensional Scaling). Through the foregoing, this study aims to provide preliminary data for establishing marketing strategies for games of marine sports by accurately understanding images of marines sports perceived by consumers. For survey targets, this study selected students of K University located in Gyeonggi-do as a population, and extracted samples using convenience sampling out of non-probability sampling methods targeting 200 students who showed intention of participation in this study, and total 188 sheets of questionnaire were used as final data excepting 12 sheets that are filled up unfaithfully or considered unreliable. For data processing, this study conducted Frequency Analysis, Descriptive Statistical Analysis, Reliability Analysis, MDS (Multidimensional Scaling) and Multiple Regression Analysis, and study results show that water ski and wakeboard(.602) have the most similar image attribute, indicating that image attributes of scuba diving and water ski(2.031) are positioned farthest with each other. As for image attribute, image attribute of water ski has appearance and progressiveness, windsurfing has an image attribute of positive, scuba diving has an image attribute of negation, and marin rafting has an image attribute of friendliness.

Evaluation of Organization and Use of Data Model for Structural Experiment Information (구조실험정보를 위한 데이터 모델의 구성 및 사용성 평가)

  • Lee, Chang-Ho
    • Journal of the Computational Structural Engineering Institute of Korea
    • /
    • v.28 no.6
    • /
    • pp.579-588
    • /
    • 2015
  • The data model for structural experiment information formally organizes the information involved in the structural experiments before the data repository using the data model is implemented. The data model is particularly required for the data repositories for the large-scale structural experiment information and the general information for various types of experiments, such as the NEEShub Project Warehouse developed by NEES. This paper proposes criteria for evaluating the organization and the use of design model for structural experiment information. The term of AVE(attribute value existence) indicates the ratio of attributes who values exist in objects, and then used for defining the Attribute AVE for the use of an attribute, the Class AVE for a class, the Class Level AVE for a class including its lower-level classes, the Project AVE for a project including all classes at class levels, and the Data Model AVE for a data model including projects. These criteria are applied to the projects in the NEES data model, and it is successively possible to numerically describe the evaluation of the use of classes and attributes in the data model.

Provably secure attribute based signcryption with delegated computation and efficient key updating

  • Hong, Hanshu;Xia, Yunhao;Sun, Zhixin;Liu, Ximeng
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.11 no.5
    • /
    • pp.2646-2659
    • /
    • 2017
  • Equipped with the advantages of flexible access control and fine-grained authentication, attribute based signcryption is diffusely designed for security preservation in many scenarios. However, realizing efficient key evolution and reducing the calculation costs are two challenges which should be given full consideration in attribute based cryptosystem. In this paper, we present a key-policy attribute based signcryption scheme (KP-ABSC) with delegated computation and efficient key updating. In our scheme, an access structure is embedded into user's private key, while ciphertexts corresponds a target attribute set. Only the two are matched can a user decrypt and verify the ciphertexts. When the access privileges have to be altered or key exposure happens, the system will evolve into the next time slice to preserve the forward security. What's more, data receivers can delegate most of the de-signcryption task to data server, which can reduce the calculation on client's side. By performance analysis, our scheme is shown to be secure and more efficient, which makes it a promising method for data protection in data outsourcing systems.

Calculating Attribute Values using Interval-valued Fuzzy Sets in Fuzzy Object-oriented Data Models (퍼지객체지향자료모형에서 구간값 퍼지집합을 이용한 속성값 계산)

  • Cho Sang-Yeop;Lee Jong-Chan
    • Journal of Internet Computing and Services
    • /
    • v.4 no.4
    • /
    • pp.45-51
    • /
    • 2003
  • In general, the values for attribute appearing in fuzzy object-oriented data models are represented by the fuzzy sets. If it can allow the attribute values in the fuzzy object-oriented data models to be represented by the interval-valued fuzzy sets, then it can allow the fuzzy object-oriented data models to represent the attribute values in more flexible manner. The attribute values of frames appearing in the inheritance structure of the fuzzy object-oriented data models are calculated by a prloritized conjunction operation using interval-valued fuzzy sets. This approach can be applied to knowledge and information processing in which degree of membership is represented as not the conventional fuzzy sets but the interval-valued fuzzy sets.

  • PDF

Factor Analytic Classification of Design Attributes of Shopping-Mall Sites under the View of Usability (인터넷 쇼핑몰 사이트 설계 속성들의 사용성 관점에서의 요인분석적 분류)

  • 고석하;김주성;경원현
    • Journal of Information Technology Applications and Management
    • /
    • v.10 no.4
    • /
    • pp.29-50
    • /
    • 2003
  • This research provide the basic information to enhance the user-orientedness of usability design guidelines for software products and an effective empirical guidance to classify design attributes of internet shopping mall sites. The results of analysis show that design attributes can be classified into the procedural attribute group, the shopping tool attribute group, the visual attribute group, linguistic attribute group, and others. The results show that shopping tool attribute group can be divided further into the search tool attribute group and purchase tool attribute group and that the visual attribute group can be divided further into the screen condition attribute group and the character legibility attribute group. The research reveals that when designers design software interfaces and features they should take the compound effect of a group of design attributes into consideration to enhance the usability of the system.

  • PDF